Senior Data Scientist (f/m/d) - Hybrid

Salary: .000 € per year

• What you will need to succeed:
• PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience
• Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification
• Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation
• Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests
• Ability to develop and optimize ETL pipelines for large-scale data processing
• Solid understanding of causal inference, time series forecasting, and statistical modeling
• Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools
• Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable

• Position Description
• As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several topics. This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. You will play a critical role in analyzing complex datasets, developing scalable data pipelines, and applying Bayesian approaches to extract actionable insights.
• This role will work closely with engineers, product managers, and business leaders to improve AI models, optimize product features, and enhance organizational data capabilities. If you have a passion for solving challenging problems at the intersection of data science, AI, and customer engagement, we'd love to hear from you!
• In this role, you will:
• Develop and optimize ETL pipelines, ensuring high-quality, reliable data
• Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions
• Curate and maintain datasets to support the development, evaluation, and deployment of AI models
• Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence
• Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements
• Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows

• AI
• AWS
• Azure
• Big Data
• Cloud
• ETL
• GCP
• Support
• Machine Learning
• Network
• PyTorch
• Python
• SQL
• Spark
• TensorFlow

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International crossfunctional teams working on cutting edge multimedia solutions.

last updated 38 week of 2025